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Three-Dimensional Reconstruction of Geometry from Image

Author: LiFangZuo
Tutor: MengXiangXu
School: Shandong University
Course: Computer Software and Theory
Keywords: Image-based reconstruction Three-dimensional model Point cloud data Buildings footprint
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 274
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Abstract


Three-dimensional model Gets yes computer vision and computer graphics fields of an fundamental research question. In real life among the, 3D model's reconstruction are widely used in object recognition, industrial automatic design, video games, animation production, buildings original appearance recovery, etc. aspects of, while requiring refactoring have a higher the efficiency of the in order to achieve real-time calculation. However, by utilizing modeling software (such as Maya and 3D MAX, etc.) manual build three-dimensional model is a very tedious and the Consideration expensive's work. Therefore, the study how to from the real world directly and rapid ground access to three-dimensional model, to become research in the field hotspot. Reality-based of objects three-dimensional model obtaining method mainly divided into take the initiative to method and the passive approach to. Among them, the take the initiative to methods in order to to use three-dimensional scanner method of as a representative. Passive approach to is based on the two-dimensional image's 3D reconstruction method. Image-based three-dimensional modeling method possess low-cost, flexible, and direct access to color texture and other characteristics, able to quickly, lifelike the reconstruction of out the scenes three-dimensional model. Image-based three-dimensional reconstruction is a meaningful work, there are currently fully automatic's three-dimensional reconstruction, but the rebuild effect is not ideal. We think we can plus the the user's interaction, add shapes edit part of the, increase the system's flexibility of, but too much human-computer interaction will increase the user's burden. Therefore, this article's work is mainly devoted to added a to manually interactive operation of the of buildings three-dimensional reconstruction system, the design the corresponding algorithm, reduce the user's workload. Of this paper main work include: 1. Introduces the one kinds new image-based of buildings three-dimensional reconstruction programs, you can let ordinary users, take advantage of ordinary camera shooting a group of buildings's pictures to get the with a textured buildings of the three-dimensional model. 2. Put forward more humane interaction design, the system former two stages of the obtained three-dimensional point cloud data, relative to the three-dimensional scanner to obtain of the precise point cloud, yes is uneven, sparse's, and the includes some error, right three-dimensional model's rebuild cause certain difficult. As most of the computer-based automatic's reconstruction method effect is not good, and we in the reconstruction process the appropriate enhancing anthropogenic method of interaction. Through artificial auxiliary, one hand can make algorithm is more simpler, the other hand, can also make rebuild the effect of be better. 3. Was proposed based on point cloud data of the of buildings footprint of extraction, due point cloud data's sparse Xing and non-accuracy, first of all pairs of objects carry on classification, against the classified objects, the design the corresponding algorithm. Namely in the user painting footprint prior to, in the mouse movement process, the system displays the corresponding point in the image the position of, help the user understand point cloud data; the user to enter first Article of buildings the footprints of line segment after the, the use of Hough change and the smallest two by fitting methods infer other trail segments; and gives a set of adaptive parameters; then users of the system are given footprint choose.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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